Katrina Ligett
12 papers · 2012–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (4) π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (11)
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Taxonomy Completionist
(24)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(4)
π
Keyword Champion
π
Trend Setter
ποΈ
Keyword Collector
(54)
π
Century Club
(12)
Conferences
NIPS (5)
COLT (4)
AISTATS (2)
ALT (1)
Top co-authors
Research topics
Keywords
differential privacy
(6)
pac learning
(2)
sample complexity
(2)
linear regression
(2)
logistic regression
(1)
feature selection
(1)
domain generalization
(1)
adaptive learning
(1)
bayesian inference
(1)
privacy preservation
(1)
mechanism design
(1)
online classification
(1)
empirical risk minimization
(1)
posterior inference
(1)
false positive rate
(1)
online convex optimization
(1)
generalization error
(1)
game theory
(1)
partial feedback
(1)
online learning
(1)
Papers
Generalization in the Face of Adaptivity: A Bayesian Perspective
NIPS 2023
Algorithmic Learning Theory 2021: Preface
ALT 2021
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization
AISTATS 2021
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics
AISTATS 2021
Privately Learning Thresholds: Closing the Exponential Gap
COLT 2020
Equal Opportunity in Online Classification with Partial Feedback
NIPS 2019
A Necessary and Sufficient Stability Notion for Adaptive Generalization
NIPS 2019
Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM
NIPS 2017
Adaptive Learning with Robust Generalization Guarantees
COLT 2016
Truthful Linear Regression
COLT 2015
A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret
COLT 2013
A Simple and Practical Algorithm for Differentially Private Data Release
NIPS 2012